Yavy turns any public website into an MCP server. Paste a URL, and we crawl, index, and serve your content to AI tools like Claude, Cursor, and any MCP-compatible assistant. No more copy-pasting docs into chat. No more hallucinated answers. Your AI gets accurate, up-to-date information from your actual content. Perfect for developer docs, help centers, blogs, and knowledge bases. Set up in minutes - no code required. Organize multiple sources and share access with your team.
Hey Product Hunt! 👋
I built Yavy out of pure frustration.
Every day I'd find myself copying chunks of documentation into Claude or Cursor, asking "how does X work?" - then doing it again 5 minutes later for a different page. The AI would sometimes hallucinate answers that sounded right but weren't in the actual docs.
When MCP came out, I saw the solution: what if any documentation could become an MCP server? Your AI assistant could just... search the real docs directly.
So I built Yavy. Paste any public URL - framework docs, help centers, blogs and it crawls, indexes with semantic embeddings, and serves it via MCP. Now Claude, Cursor, and other AI tools can search your actual content instead of guessing.
What I learned building this:
- Chunk-based indexing beats full-page indexing for accuracy
- Semantic search changes everything - find by meaning, not keywords
- Developers want one place to connect ALL their docs (hence organizations & multi-project support)
I'm using Yavy myself every day now. No more copy-paste workflow. No more hallucinated API methods.
Would love your feedback - what docs would you index first?
